Evidence map›Paper›PMID 33683202›Full record

ArticleeLife2021

Sub-minute prediction of brain temperature based on sleep-wake state in the mouse.

Yaniv Sela, Marieke Mb Hoekstra, Paul Franken

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Sleep deprivation soon after recovery from synthetic torpor enhances tau protein dephosphorylation in the rat brain.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yaniv SelaSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-2244-2067
Marieke Mb HoekstraCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-0723-2026
Paul FrankenCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-2500-2921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although brain temperature has neurobiological and clinical importance, it remains unclear which factors contribute to its daily dynamics and to what extent. Using a statistical approach, we previously demonstrated that hourly brain temperature values co-varied strongly with time spent awake (Hoekstra et al., 2019). Here we develop and make available a mathematical tool to simulate and predict cortical temperature in mice based on a 4-s sleep-wake sequence. Our model estimated cortical temperature with remarkable precision and accounted for 91% of the variance based on three factors: sleep-wake sequence, time-of-day ('circadian'), and a novel 'prior wake prevalence' factor, contributing with 74%, 9%, and 43%, respectively (including shared variance). We applied these optimized parameters to an independent cohort of mice and predicted cortical temperature with similar accuracy. This model confirms the profound influence of sleep-wake state on brain temperature, and can be harnessed to differentiate between thermoregulatory and sleep-wake-driven effects in experiments affecting both.

Indexed as

AlgorithmsAnimalsBody TemperatureBrainMaleMiceMice, Inbred C57BLModels, StatisticalSleepWakefulnessbrain temperaturecomputational biologymicemodelmouseneurosciencesleep-wake statesystems biology

Identifiers

PMID33683202
PMCPMC7939547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.